Santhad Chuwongin

Deep learning approaches for challenging species and gender identification of mosquito vectors.

Classification for avian malaria parasite Plasmodium gallinaceum blood stages by using deep convolutional neural networks.

A Deep Learning System for Recognizing and Recovering Contaminated Slider Serial Numbers in Hard Disk Manufacturing Processes.

Simultaneous phenotyping of five Rh red blood cell antigens on a paper-based analytical device combined with deep learning for rapid and accurate interpretation.

Automatic recognition of parasitic products in stool examination using object detection approach.

Automatic identification of medically important mosquitoes using embedded learning approach-based image-retrieval system.